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Revealing global hot spots of technological disasters: 1900-2013

机译:揭示全球技术灾难的热点:1900-2013年

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摘要

technological; disaster; spatial; expected risk; fatality; injury; affected; damage%Technological disasters can happen in any country in the world and cause human fatalities, injuries, and economic damages, among other physical and social consequences. As the world adopts more technologies, becomes further industrialized, continues faster urbanization, and has larger and more concentrated population, the occurrences and impacts of technological disasters are likely to be more frequent and severe and call for more scholarly research. However, there is a lack of good models for reliable technological risk analysis, which is the foundation for effective preparation for, sound mitigation of, and quick recovery from technological disasters. This research develops an expected risk analysis model, including a base sub-model and a location quotient sub-model, for nearly 200 countries of the world, using the technological disasters recorded in the EM-DAT database for the period 1900-2013. The sub-models are based on country-level risk impacts in terms of expected fatalities, injuries, people affected, and economic losses, their standard deviations, ranges, and corresponding country percentages and ranks. The sub-models are validated using correlations and scatter plots for the observed and expected risk impacts. The results show that the sub-models perform well by yielding consistent expected risks and related measures, indicating that the expected risk analysis model is a reasonably good alternative to existing risk analysis models.
机译:技术灾害;空间预期风险;死亡受伤;受影响损害百分比技术灾害可能在世界上任何国家发生,并造成人员伤亡,经济损失和其他物理和社会后果。随着世界采用更多技术,进一步工业化,持续更快的城市化进程以及人口越来越多,人口更加集中,技术灾难的发生和影响可能会更加频繁和严重,因此需要进行更多的学术研究。但是,缺乏可靠的技术风险分析的良好模型,这是有效准备,合理缓解​​技术灾难并从中快速恢复的基础。这项研究使用EM-DAT数据库中记录的1900-2013年的技术灾难,为世界上近200个国家/地区开发了预期的风险分析模型,包括基础子模型和位置商子模型。子模型基于国家级风险影响,包括预期死亡人数,伤害,受影响人员和经济损失,标准差,范围以及相应的国家百分比和等级。使用相关性和散点图对观察到的和预期的风险影响验证子模型。结果表明,通过产生一致的预期风险和相关度量,子模型表现良好,表明预期风险分析模型是现有风险分析模型的合理替代方案。

著录项

  • 来源
    《Journal of risk research》 |2018年第4期|361-393|共33页
  • 作者

    Guoqiang Shen; Seong Nam Hwang;

  • 作者单位

    Regional and City Planning, College of Architecture, The University of Oklahoma, Norman, OK, USA;

    Environmental Science Program, Department of Biology, Southeast Missouri State University, Cape Girardeau, MO, USA;

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  • 正文语种 eng
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